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Measuring Human Mobility Dynamics and Place Connectivity Using Big Social Media Data
Topics: Geographic Information Science and Systems
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Keywords: social media, place connectivity, covid19, human mobility Session Type: Virtual Paper Abstract Day: Saturday Session Start / End Time: 2/26/2022 09:40 AM (Eastern Time (US & Canada)) - 2/26/2022 11:00 AM (Eastern Time (US & Canada)) Room: Virtual 27
Authors:
Zhenlong Li, University of South Carolina
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Abstract
Understanding human mobility dynamics among places provides fundamental knowledge regarding their interactive gravity, benefiting a wide range of applications in need of knowledge in human spatial interactions. The ongoing COVID-19 pandemic uniquely highlights the need for monitoring, measuring, and predicting human movement at various geographic scales from local to global. This talk first introduces our recent effort in quantifying global human movement using billions of geotagged tweets coupled with big data computing, and then presents a global multi-scale place connectivity index (PCI) derived from such movement. Two application examples are followed to exemplify the utility of PCI as a factor in 1) predicting the spatial spread of COVID-19 during the early stage, and 2) predicting hurricane evacuation destination choices.
Measuring Human Mobility Dynamics and Place Connectivity Using Big Social Media Data